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Threat, risk

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Threat, risk (organised) crime and Crime-money (laundering) – PowerPoint PPT presentation

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Title: Threat, risk


1
  • Threat, risk
  • (organised) crime and
  • Crime-money (laundering)

2
Past, present and OC threat/risks
  • 2001 European Multidisciplinary Group declared
  • We looked back we must look forward!
  • ? Therefore Future oriented reporting the
    future of OC the future of its threat/risk
  • What is threat or risk?
  • And what is an organised crime risk?

3
The simple risk formula
  • Risk p ?xi/N (per time unit) threat
  • the likelihood that an event x of a certain class
    Y will occur given the total set of events.
  • Could policy makers please substitute the x and
    Y?
  • Y is a closed definition of a class of events
  • x single event of class Y
  • ?xi-time time series of events
  • Apply that to organised crime assessment

4
Finding an insurance policy againstorganised
crime
  • Basic thesis every determinable harm can be
    insured if a likelihood can be determined.
  • What does an insurance firm do with a new risk?
  • (a) it determines the meaning of the class of
    events Y, then its total N
  • (b) it designs a time series past events x
  • (c) the costs of events (classified harm) and
    fills the formula

5
Finding an insurance policy againstorganises
crime continued
  • What did the EU policy makers do?
  • (a) they formulated a fuzzy definition and
  • (b) threw away the past.
  • Just try to make a time series.
  • What can an insurance firm do?

6
The desperate insurance firm
  • What can an insurance firm do?
  • It cannot sell an OC insurance policy because
    there is no determinable risk! (Or serious
    crime) no x and no Y
  • On what basis to assess OC crime risk?
  • If no proper definition, no OC insurance risk
  • Only con men can sell such policies!

7
The desperate insurance firm (continued)
  • Are policy makers con men?
  • They sold you multi-million policies
  • ? EUROPOL
  • ? Organised Crime Threat Assessments
  • ? Transnational Organised Crime Convention
  • ? Anti-money laundering regime
  • All to make us feel secure!

8
The insurance firm perseveres!!
  • Continue with our insurance man. What can he do?
  • He must keep the OC banner excellent commercial
    label
  • ? never abandon a winning formula!
  • Next some correlation with a criterion variable.

9
The insurance firm perseveres!!(continued)
  • For example
  • Breakdown of social-economic or criminal
    variables against criterion variable Foreign
    direct investment
  • (Daniele and Marani Italy)
  • OC and investment negative correlation but ?
    causal relation, because
  • Underlying variable mal governance and
    corruption.

10
The unmarketable exception clause
  • The underlying variable mal governance and
    corruption.
  • The Berlusconi exception clause!
  • How to sell such an insurance product?
  • Determining the threat of mal governance and sell
    corruption risk policies.
  • Commercial challenge for Transparency
    International,
  • but otherwise unsalable.

11
The threat of crime money
  • The global threat since the 1980s.
  • Basic concern threat to the financial system ?
    integrity
  • Which criminal is going to cut the branch on
    which he is sitting?
  • Grubby banks are dangerous . . . . for
    launderers

12
The threat of crime money (continued)
  • ? Calvi hanging from Black Friars Bridge
  • ? Sindona (poison) lawyer shot
  • ? Russian bankers (a too long series for a
    slide)
  • ? Nugan Hand Bank (Australia, suspicious
    suicide)
  • ? European Union Bank ( 10 million lost)
  • Most recent launderers risk unreliable bank
    employees selling CDs with names to the fiscal
    authorities!

13
The criminal risk industry
  • Instead of threat thinking
  • The real question What is the role of crime
    money within the financial system?
  • Again no data, but an abundance of threat images
    benefiting the compliance industry.
  • Lot of juggling with trillions by IMF, OEDC,
    World Bank, FATF mutually copy-pasting figures
    and threats
  • A (financial) risk industry

14
Copy-pasting threats
  • Affects currency movements
  • Destabilises banks by sudden withdrawals
  • Influences interest rate.
  • Distorts the GDP.
  • No optimal investment
  • (remarked by Ponzi-bankers!)

15
The risk of laundered and unlaundered money
  • What is the harm of laundered money?
  • ? Part of the GDP where is the danger?
  • ? Taxable
  • But there is moral harm crime should not pay ?
    corrosion of morals

16
The risk of crime-money and corruption
  • More corruption?
  • All big corruption scandals in EU concerned white
    money!
  • Unlaundered money ? What is the threat?
  • Luxury lifestyle? What is the difference with our
    greedy irresponsible Ponzi-bankers?
  • If laundered properly, no longer a threat!

17
The role of crime moneyon-going research
  • The Dutch confiscation database statistical mud
    track since 1994
  • Threatened sector real estate skewed division
    but
  • Mean 182.000 / median 150.000
  • mean value bank account 263.000 / median
    20.000
  • ? 100.000 90
  • ? 1.000.000 11
  • ? 94 Dutch bank accounts lt 100.000
  • The role of crime money
  • less prominent, certainly not threatening,
    unless falsified by better data!

18
Do what you are (hopefully) paid for
  • Falsify, falsify, falsify, until the hypothesis
    do not crack.
  • Identify your risk counting unit no risk
    assessment without ?xi-n/time
  • Get to your database owners and hold them
    accountable
  • they are your (democratic) knowledge source.

19
Thou should not hide knowledge
  • We are the people, researchers too,
  • And have the right to know.
  • If no data access sue them under your Freedom of
    Information Act
  • If you dont dare, just join the collective risk
    assessment ritual dance of the conferences.
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